Veranstaltungsverzeichnis
Institute of Physics
- English course offer for exchange students :
- Faculty of Mathematics and Science
- Institute of Physics
| VAK | Title | Type | SWS | Teachers | Degree |
|---|---|---|---|---|---|
| 5.06.M308 Ü |
Resilient Energy Systems
Friday: 08:00 - 10:00, weekly (from 20/10/23) Description: Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. |
Exercises | - |
Herena Torio |
|
| 5.04.4213 |
Machine Learning I - Probabilistic Unsupervised Learning
Tuesday: 12:00 - 14:00, weekly (from 17/10/23), Location: W02 1-148 Dates on Tuesday, 17.10.2023, Tuesday, 14.11.2023 16:00 - 18:00, Location: V03 0-C002 Description: The field of Machine Learning develops and provides methods for the analysis of data and signals. Typical application domains are computer hearing, computer vision, general pattern recognition and large-scale data analysis (recently often termed "Big Data"). Furthermore, Machine Learning methods serve as models for information processing and learning in humans and animals, and are often considered as part of artificial intelligence approaches. This course gives an introduction to unsupervised learning methods, i.e., methods that extract knowledge from data without the requirement of explicit knowledge about individual data points. We will introduce a common probabilistic framework for learning and a methodology to derive learning algorithms for different types of tasks. Examples that are derived are algorithms for clustering, classification, component extraction, feature learning, blind source separation and dimensionality reduction. Relations to neural network models and learning in biological systems will be discussed were appropriate. The course requires some programming skills, preferably in Matlab or Python. Further requirements are typical mathematical / analytical skills that are taught as part of Bachelor degrees in Physics, Mathematics, Statistics, Computer and Engineering Sciences. Course assignments will include analytical tasks and programming task which can be worked out in small groups. The presented approach to unsupervised learning relies on Bayes' theorem and is therefore sometimes referred to as a Bayesian approach. It has many interesting relations to physics (e.g., statistical physics), statistics and mathematics (analysis, probability theory, stochastic) but the course's content will be developed independently of detailed prior knowledge in these fields. Weblink: www.uni-oldenburg.de/ml The field of Machine Learning develops and provides methods for the analysis of data and signals. Typical application domains are computer hearing, computer vision, general pattern recognition and large-scale data analysis (recently often termed "Big Data"). Furthermore, Machine Learning methods serve as models for information processing and learning in humans and animals, and are often considered as part of artificial intelligence approaches. This course gives an introduction to unsupervised learning methods, i.e., methods that extract knowledge from data without the requirement of explicit knowledge about individual data points. We will introduce a common probabilistic framework for learning and a methodology to derive learning algorithms for different types of tasks. Examples that are derived are algorithms for clustering, classification, component extraction, feature learning, blind source separation and dimensionality reduction. Relations to neural network models and learning in biological systems will be discussed were appropriate. The course requires some programming skills, preferably in Matlab or Python. Further requirements are typical mathematical / analytical skills that are taught as part of Bachelor degrees in Physics, Mathematics, Statistics, Computer and Engineering Sciences. Course assignments will include analytical tasks and programming task which can be worked out in small groups. The presented approach to unsupervised learning relies on Bayes' theorem and is therefore sometimes referred to as a Bayesian approach. It has many interesting relations to physics (e.g., statistical physics), statistics and mathematics (analysis, probability theory, stochastic) but the course's content will be developed independently of detailed prior knowledge in these fields. Weblink: www.uni-oldenburg.de/ml |
Lecture | 2 |
Prof. Dr. Jörg Lücke |
|
| 5.06.M305 |
External Internship
The course times are not decided yet.
Description: |
miscellaneous | - |
Herena Torio |
|
| 5.04.4238 |
Wind Physics Student's Lab (Wind2Grid)
Tuesday: 10:00 - 14:00, weekly (from 17/10/23) Description: The “Wind Physics Student’s Lab” aims to foster the learning processes in courses and seminars by own research activities of the students in wind physics. The course is offered in the scope of the initiative FLiF+ (German: “Forschendes Lernen im Focus”) at the University Oldenburg (see https://www.uni-oldenburg.de/flif/) and is organised as seminar with integrated work in the laboratory. Groups of two students each will investigate an individual, self-formulated research question and will be guided by the supervisors through the research-based learning process. In order to introduce the students to current wind energy research, each of three research groups at ForWind – University Oldenburg will supervise one seminar in a certain field. These topical seminars will be offered in subsequent semesters or in parallel. Each semester the available seminars will be announced. The seminar “Dynamics and control of grid-connected wind turbines“ is related to the work of the research group Wind Energy Systems (WESys). It intends to give a deeper insight into two fields of wind engineering: One is the grid connection and interaction of wind turbines and the other is their operational control as special case in the field of control engineering. The seminar uses an experimental system which allows to investigate control tasks and interaction mechanisms of the functional chain of wind field, rotor, drive train, generator, transformer and electric grid. The seminar consists of three main phases: 1st phase: Preparational learning • building up basic competences • identification of the technical tasks • introduction to current research • introduction to the experiment • investigating standard situations, physical effects and functional principles by means of the experimental system 2nd phase: Research-based learning • defining own research questions • defining an experimental strategy • planning the experiment • set-up, execution, data acquisition and decommissioning of the experiment 3rd phase: Evaluation and documentation • evaluating the experiment • documentation with a short report (paper) • presentation. The “Wind Physics Student’s Lab” aims to foster the learning processes in courses and seminars by own research activities of the students in wind physics. The course is offered in the scope of the initiative FLiF+ (German: “Forschendes Lernen im Focus”) at the University Oldenburg (see https://www.uni-oldenburg.de/flif/) and is organised as seminar with integrated work in the laboratory. Groups of two students each will investigate an individual, self-formulated research question and will be guided by the supervisors through the research-based learning process. In order to introduce the students to current wind energy research, each of three research groups at ForWind – University Oldenburg will supervise one seminar in a certain field. These topical seminars will be offered in subsequent semesters or in parallel. Each semester the available seminars will be announced. The seminar “Dynamics and control of grid-connected wind turbines“ is related to the work of the research group Wind Energy Systems (WESys). It intends to give a deeper insight into two fields of wind engineering: One is the grid connection and interaction of wind turbines and the other is their operational control as special case in the field of control engineering. The seminar uses an experimental system which allows to investigate control tasks and interaction mechanisms of the functional chain of wind field, rotor, drive train, generator, transformer and electric grid. The seminar consists of three main phases: 1st phase: Preparational learning • building up basic competences • identification of the technical tasks • introduction to current research • introduction to the experiment • investigating standard situations, physical effects and functional principles by means of the experimental system 2nd phase: Research-based learning • defining own research questions • defining an experimental strategy • planning the experiment • set-up, execution, data acquisition and decommissioning of the experiment 3rd phase: Evaluation and documentation • evaluating the experiment • documentation with a short report (paper) • presentation. |
Seminar | - |
Prof. Dr. Martin Kühn Andreas Hermann Schmidt |
|
| 5.04.4587 |
Advanced CFD and wind turbine aerodynamics
Wednesday: 14:00 - 16:00, weekly (from 18/10/23) Description: The aim is that the students learn how to approach all kinds of real numerical problems in CFD and solve them. Everyone is supposed to be set up to date on the current problems and challenges of CFD in aerodynamics and their solutions. Content: CFD wake modeling, grid generators and computational stability, developing fluid structure interaction solvers, detached eddy simulations (DES), turbulent inflow field generation The aim is that the students learn how to approach all kinds of real numerical problems in CFD and solve them. Everyone is supposed to be set up to date on the current problems and challenges of CFD in aerodynamics and their solutions. Content: CFD wake modeling, grid generators and computational stability, developing fluid structure interaction solvers, detached eddy simulations (DES), turbulent inflow field generation |
Seminar | 2 |
Dr. Bernhard Stoevesandt |
|
| 5.04.992 |
Guidance for independent scientific work
The course times are not decided yet.
Description: |
Seminar | - |
Prof. Dr. Philipp Huke Prof. Dr. Martin Silies Ulrich Teubner Prof. Dr. Walter Neu, Dipl.-Phys. Markus Schellenberg Dr. rer. nat. Sandra Koch |
|
| 5.04.050 Ü4 |
Math pre-course tutorial in English
Dates on Monday, 25.09.2023 12:30 - 14:00, Monday, 25.09.2023 15:15 - 16:00, Tuesday, 26.09.2023 12:30 - 14:00, Tuesday, 26.09.2023 15:15 - 16:00, Wednesday, 27.09.2023 12:30 - 14:00, Wednesday, 27.09.2023 15:15 - 16:00, Thursday, 28.09.2023 12:30 - 14:00, Thursday, 28.09.2023 15:15 - 16:00, Friday, 29.09.2023 12:30 - 14:00, Friday, 29.09.2023 15:15 - 16:00 ...(more)
Description: |
Exercises | - |
Tom Henkel TutorInnen, der Physik |
|
| 5.04.4571 Ü1 |
Density-functional theory
Thursday: 16:00 - 18:00, weekly (from 19/10/23) Description: |
Exercises | - |
Prof. Dr. Caterina Cocchi Dr. Ana Maria Valencia Garcia |
|
| 5.04.4243 a |
Python Programming in Energy Science I
Wednesday: 10:00 - 12:00, weekly (from 18/10/23), Location: W16A 015/016 Dates on Wednesday, 29.11.2023, Wednesday, 31.01.2024 10:00 - 12:00, Location: W04 1-162 Description: This course addresses students studying in the field of energy science. It is tailored to introduce students to the extremely popular programming language Python, which is widely used in energy research (and beyond). Please bring your own laptop - this course will feature hands-on programming and practical exercises. This programming course consists of two courses (5.04.4243 a and b; 3+3 CP), starting in the winter term 2023/24. The second part will be taught during the summer term 2024. This course addresses students studying in the field of energy science. It is tailored to introduce students to the extremely popular programming language Python, which is widely used in energy research (and beyond). Please bring your own laptop - this course will feature hands-on programming and practical exercises. This programming course consists of two courses (5.04.4243 a and b; 3+3 CP), starting in the winter term 2023/24. The second part will be taught during the summer term 2024. |
Lecture | - |
Balthazar Arnoldus Maria Sengers Hassan Kassem Lukas Vollmer Martin Dörenkämper |
|
| 5.04.4081 |
Nano-Optics: From Classical to Quantum
Friday: 14:00 - 16:00, weekly (from 20/10/23) Description: Nano-Optik ist eine rasant wachsendes Forschungsfeld mit fundamentaler Bedeutung für die Quanteninformation, optische Datenverarbeitung und Energiewandlung. Der Kurs soll einen Einblick in physikalische Grundlagen und aktuelle Forschungsfragen der Nano-Optik geben. Den Studierende werden vertiefte Einblick in die Optik von Nanostrukturen vermittelt. Ein besonderer Aspekt liegt dabei auf dem Übergang zwischen klassischer und quantenmechanischer Beschreibung der untersuchten physikalischen Phänomene. Die Studierenden erwerben Fähigkeiten zum selbständigen Umgang mit entsprechender Fachliteratur und erlangen Kompetenzen zur wissenschaftlichen Analyse physikalischer Sachverhalte und im wissenschaftlichen Schreiben. Nano-Optik ist eine rasant wachsendes Forschungsfeld mit fundamentaler Bedeutung für die Quanteninformation, optische Datenverarbeitung und Energiewandlung. Der Kurs soll einen Einblick in physikalische Grundlagen und aktuelle Forschungsfragen der Nano-Optik geben. Den Studierende werden vertiefte Einblick in die Optik von Nanostrukturen vermittelt. Ein besonderer Aspekt liegt dabei auf dem Übergang zwischen klassischer und quantenmechanischer Beschreibung der untersuchten physikalischen Phänomene. Die Studierenden erwerben Fähigkeiten zum selbständigen Umgang mit entsprechender Fachliteratur und erlangen Kompetenzen zur wissenschaftlichen Analyse physikalischer Sachverhalte und im wissenschaftlichen Schreiben. |
Lecture | - |
Prof. Dr. Christoph Lienau |
|
| 5.04.6610 |
Modern Methods in Optical Microscopy
Tuesday: 12:00 - 14:00, weekly (from 17/10/23) Description: Please subscribe as well in 5.04.6611 Advanced Optical Spectroscopy in order to get all necessary information. Both seminar are usually offered parallel. - Demonstrate knowledge, fundamental understanding and critical awareness of current research fields in state-of-the-art optical microscopy. - Personal development through practice of communication, presentation, time management, teamwork, problem solving, project management, critical evaluation, numeracy, and IT skills. - Students are able to prepare a written scientific report on their own and present their results in an appropriate way to the group; in particular to understand, analyze, classify and work on an advanced microscopy topic, thoroughly study the recommended (and further) literature; find and critically check relevant literature make and incorporate their own thoughts, write down and present their results in a mathematically correct and comprehensible way, finish in time. Topics to be covered will include: microscopy, wave optics, optical imaging, spatial/temporal coherence, light generation/detection, e.g.: - Confocal microscopy - Superresolution microscopy - Single Molecule Imaging - Imaging of living tissue - Raman microscopy - Stochastic microscopy Please subscribe as well in 5.04.6611 Advanced Optical Spectroscopy in order to get all necessary information. Both seminar are usually offered parallel. - Demonstrate knowledge, fundamental understanding and critical awareness of current research fields in state-of-the-art optical microscopy. - Personal development through practice of communication, presentation, time management, teamwork, problem solving, project management, critical evaluation, numeracy, and IT skills. - Students are able to prepare a written scientific report on their own and present their results in an appropriate way to the group; in particular to understand, analyze, classify and work on an advanced microscopy topic, thoroughly study the recommended (and further) literature; find and critically check relevant literature make and incorporate their own thoughts, write down and present their results in a mathematically correct and comprehensible way, finish in time. Topics to be covered will include: microscopy, wave optics, optical imaging, spatial/temporal coherence, light generation/detection, e.g.: - Confocal microscopy - Superresolution microscopy - Single Molecule Imaging - Imaging of living tissue - Raman microscopy - Stochastic microscopy |
Seminar | - |
Markus Schellenberg Prof. Dr. Walter Neu, Dipl.-Phys. |
|
| 5.04.311 Versuch 05 |
Fortgeschrittenenpraktikum Physik (FPR-B) Versuch 05 - Spektroskopie am Jod-Molekül
Friday: 09:00 - 17:00, weekly (from 20/10/23) Description: Bitte Hinweise [hier]http://www.uni-oldenburg.de/physik/lehre/praktika/fpr/fpr-b/organisation-und-umfang/ beachten. Voraussetzung für die Teilnahme ist eine Anmeldung zu Beginn des dem Praktikum vorangehenden Semesters (Formular [hier]http://www.uni-oldenburg.de/physik/lehre/praktika/fpr/fpr-b/anmeldung/ ). Die Verteilung der Plätze findet am 1. Termin des Seminars zum FPR-B statt.[pre] [/pre] Die aktuellen Versuche werden auf der Homepage des Fortgeschrittenen Praktikums angezeigt. Bitte Hinweise [hier]http://www.uni-oldenburg.de/physik/lehre/praktika/fpr/fpr-b/organisation-und-umfang/ beachten. Voraussetzung für die Teilnahme ist eine Anmeldung zu Beginn des dem Praktikum vorangehenden Semesters (Formular [hier]http://www.uni-oldenburg.de/physik/lehre/praktika/fpr/fpr-b/anmeldung/ ). Die Verteilung der Plätze findet am 1. Termin des Seminars zum FPR-B statt.[pre] [/pre] Die aktuellen Versuche werden auf der Homepage des Fortgeschrittenen Praktikums angezeigt. |
Practical training | - |
Katem Mitkong |
|
| 5.06.M301 |
Renewable Energy Project
Wednesday: 12:00 - 16:00, weekly (from 18/10/23), Location: W16A 004 Dates on Wednesday, 04.10.2023 12:00 - 16:00, Location: W16A 010 Description: In this seminar you will design an energy supply system for a typical consumer. Apart from the energy management aspects you will get insights in to site management, economical and social aspects of energy consumption. In this seminar you will design an energy supply system for a typical consumer. Apart from the energy management aspects you will get insights in to site management, economical and social aspects of energy consumption. |
Seminar | - |
Dr. rer. nat. Tanja Behrendt |
|
| 5.04.4669 |
Laser Material Processing
Wednesday: 08:00 - 10:00, weekly (from 18/10/23) Description: Fundamental knowledge of the characteristics of the laser beam, Knowledge of laser sources for industrial applications, knowledge of procedures of the material processing with laser beams. Knowledge of the physical-technical procedures of the individual manufacturing processes with laser beams; Ability for the estimation of favorable working parameters; The participants should be able to understand the procedures of the material processing with laser beams and evaluate the tasks of manufacturing. Content Overview of the procedures of the material processing with laser beams: Procedure, allocation of the procedures in relation to production engineering the laser beam as tool. Deepening treatment of the manufacturing processes with laser beams in relation of quality, speed and costs. The manufacturing processes are: Cutting procedure, joining process, surface processing, material property changing, generative process. Examples from the industrial manufacturing. Fundamental knowledge of the characteristics of the laser beam, Knowledge of laser sources for industrial applications, knowledge of procedures of the material processing with laser beams. Knowledge of the physical-technical procedures of the individual manufacturing processes with laser beams; Ability for the estimation of favorable working parameters; The participants should be able to understand the procedures of the material processing with laser beams and evaluate the tasks of manufacturing. Content Overview of the procedures of the material processing with laser beams: Procedure, allocation of the procedures in relation to production engineering the laser beam as tool. Deepening treatment of the manufacturing processes with laser beams in relation of quality, speed and costs. The manufacturing processes are: Cutting procedure, joining process, surface processing, material property changing, generative process. Examples from the industrial manufacturing. |
Lecture | - |
Thomas Schüning |
|
| 5.04.638 Ü3 |
Exercises Mathematical Methods for Physics and Engineering III
Tuesday: 14:00 - 16:00, weekly (from 17/10/23) Description: |
Exercises | 2 |
Prof. Dr. Simon Doclo Prof. Dr. Steven van de Par Prof. Dr. Gerald Enzner Dr.-Ing. Aleksej Chinaev |
|
| 5.04.692 |
Laser Safety Instruction
Dates on Thursday, 05.10.2023 11:00 - 12:00, Friday, 17.11.2023 09:00 - 10:00
Description: The Laser-safety instructions are mandatory to everyone who is working in the optical laboratories in Emden. A refreshment is needed every year. The introductions are required: 5.04.6570 Fundamentals of Optics 5.04.637 Laboratory Project I 5.04.646a Laboratory Project II - Laser & Optics Internships Bachelor's Theses in the filed of Laser & Optics Master's Theses in the filed of Laser & Optics The Laser-safety instructions are mandatory to everyone who is working in the optical laboratories in Emden. A refreshment is needed every year. The introductions are required: 5.04.6570 Fundamentals of Optics 5.04.637 Laboratory Project I 5.04.646a Laboratory Project II - Laser & Optics Internships Bachelor's Theses in the filed of Laser & Optics Master's Theses in the filed of Laser & Optics |
Seminar | - |
Prof. Dr. Martin Silies Prof. Dr. Philipp Huke |
|
| 5.04.4213 Ü3 |
Machine Learning I - Probabilistic Unsupervised Learning
Tuesday: 16:00 - 18:00, weekly (from 24/10/23) Description: |
Exercises | - |
TutorInnen, der Physik Prof. Dr. Jörg Lücke Filippos Panagiotou Till Kahlke Dmytro Velychko |
|
| 5.04.202 Ü2 |
Excercises to Atomic and Molecular Physics
Tuesday: 08:00 - 10:00, weekly (from 24/10/23) Description: |
Exercises | 2 |
TutorInnen, der Physik Prof. Dr. Martin Silies |
|
| 5.04.091a |
Seminar to Basic Laboratory (english)
Monday: 10:00 - 12:00, weekly (from 16/10/23), Location: W02 1-148 Dates on Wednesday, 01.11.2023 18:00 - 20:00, Location: W03 2-240 Description: XXX von XXX Uhr: Extra Lecture "Error theory and regression analysis" XXX von XXX Uhr: Extra Lecture "Error theory and regression analysis" XXX von XXX Uhr: Extra Lecture "Error theory and regression analysis" XXX von XXX Uhr: Extra Lecture "Error theory and regression analysis" |
Seminar | 2 |
Priv.-Doz. Dr. Michael Krüger Martin Reck |
|
| 5.06.M125 Ü |
Basics of Wind Energy
Thursday: 10:00 - 12:00, weekly (from 07/12/23) Description: Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. |
Exercises | - |
Dr. Michael Hölling |
|
| 5.06.M307 |
Report & Presentation External Training
Wednesday: 08:00 - 10:00, weekly (from 18/10/23) Description: |
Seminar | - |
Herena Torio |
|
| 5.04.624b |
Introduction to Biomedical Physics and Acoustics
Thursday: 16:00 - 18:00, weekly (from 19/10/23) Description: In dieser Veranstaltung stellen die Arbeitsgruppen der Fakultät 6, die sich mit Biomedizinischer Physik und Akustik beschäftigen, im Rahmen einer Ringvorlesung einführende Aspekte ihrer Bereiche vor. Hierbei handelt es sich um Medizinische Strahlenphysik, Audiologie, Signalverarbeitung und Akustik. This course is part of the Curriculum of the PhD programs "Auditory Science" and “Neurosensory Science and Systems". In dieser Veranstaltung stellen die Arbeitsgruppen der Fakultät 6, die sich mit Biomedizinischer Physik und Akustik beschäftigen, im Rahmen einer Ringvorlesung einführende Aspekte ihrer Bereiche vor. Hierbei handelt es sich um Medizinische Strahlenphysik, Audiologie, Signalverarbeitung und Akustik. This course is part of the Curriculum of the PhD programs "Auditory Science" and “Neurosensory Science and Systems". |
Lecture | 2 |
Prof. Dr. Björn Poppe Prof. Dr. Steven van de Par Prof. Dr. Dr. Birger Kollmeier Prof. Dr. Volker Hohmann, Dipl.-Phys. Prof. Dr. Simon Doclo PD Dr. Hui Khee Looe |
|
| 5.06.M125 |
Basics of Wind Energy
Monday: 10:00 - 12:00, weekly (from 16/10/23), Location: W16A 004 Thursday: 08:00 - 10:00, weekly (from 19/10/23), Location: W16A 004 Dates on Thursday, 14.12.2023 10:00 - 12:00, Location: S 2-206 Description: |
Lecture | - |
Dr. Michael Hölling |
|
| 5.04.637 |
Laboratory Project I
Thursday: 09:00 - 13:00, weekly (from 19/10/23), Gruppe A Thursday: 14:00 - 18:00, weekly (from 19/10/23), Gruppe B Description: This lecture is currently scheduled to take place in presence. Please keep informed about the current Corona situation and security procedures. Lab project I has to take place at the University of Applied Science/Emden. Lab project II is related to the specialization. Please subscribe to the list of lab projects I in time, as announced. Introductory class will be given online. Participation at the introduction session and final session is mandatory. Detailed project information can be given by the supervisor. List of Projects: see "Dateien". This lecture is currently scheduled to take place in presence. Please keep informed about the current Corona situation and security procedures. Lab project I has to take place at the University of Applied Science/Emden. Lab project II is related to the specialization. Please subscribe to the list of lab projects I in time, as announced. Introductory class will be given online. Participation at the introduction session and final session is mandatory. Detailed project information can be given by the supervisor. List of Projects: see "Dateien". |
Practical training | - |
Dr. rer. nat. Sandra Koch Markus Schellenberg Ulrich Teubner Prof. Dr. Walter Neu, Dipl.-Phys. Thomas Schüning Stefan Wild Lars Jepsen Sabine Tiedeken Volker Braun Prof. Dr. Philipp Huke Prof. Dr. Martin Silies Freerk Schütt |
|
| 5.04.645 |
Control Systems / Control Theory
Thursday: 14:00 - 16:00, weekly (from 19/10/23), Location: W16A 015/016 Friday: 10:00 - 12:00, weekly (from 20/10/23), Location: W04 1-162 Dates on Friday, 09.02.2024 10:00 - 12:00, Location: W04 1-162 Description: |
Lecture | - |
Prof. Dr. Philipp Huke |
|
| 5.04.256a |
Introduction to Matlab
Monday: 10:00 - 12:00, weekly (from 16/10/23) Friday: 08:00 - 10:00, weekly (from 20/10/23) Description: This course is geared towards Engineering Physics students in their 3rd Semester. Please consider subscribing for an other lecture if you are already in a higher semester or even in your Master study. Master students are allowed to attend but do not get any CP because this is an undergraduate course. The course contains a lecture (Mondays) and an exercise (Fridays). There will be exercises and a programming project in the end of the semester including an oral colloquium about your project work. Students acquire knowledge of the most important ideas and methods of computer science including one programming language. Content: - General fundamentals of computer systems - Input/output - Numbers, characters, arrays, strings - Algorithms - Programming language (Matlab) - Functions (procedural programming) - Program files (modular programming) - Introduction to GUI programming This course is geared towards Engineering Physics students in their 3rd Semester. Please consider subscribing for an other lecture if you are already in a higher semester or even in your Master study. Master students are allowed to attend but do not get any CP because this is an undergraduate course. The course contains a lecture (Mondays) and an exercise (Fridays). There will be exercises and a programming project in the end of the semester including an oral colloquium about your project work. Students acquire knowledge of the most important ideas and methods of computer science including one programming language. Content: - General fundamentals of computer systems - Input/output - Numbers, characters, arrays, strings - Algorithms - Programming language (Matlab) - Functions (procedural programming) - Program files (modular programming) - Introduction to GUI programming |
Lecture | - |
Markus Schellenberg |
|
| 5.06.999 |
PPRE - Special appointments
Friday: 14:00 - 18:00, weekly (from 20/10/23), Location: W16A 004 Dates on Monday, 02.10.2023 08:00 - 16:00, Thursday, 05.10.2023 14:00 - 16:00, Saturday, 07.10.2023 13:00 - 22:00, Saturday, 07.10.2023 14:00 - 22:00, Tuesday, 10.10.2023 08:00 - 10:00, Wednesday, 11.10.2023 16:00 - 18:00, Location: W16A 004, W16A 015/016 Description: for Special Appointments in PPRE: Introduction, preparation graduation, excursion, etc. / invited guest lectures / career service / etc. Takes only place after specific announcement! for Special Appointments in PPRE: Introduction, preparation graduation, excursion, etc. / invited guest lectures / career service / etc. Takes only place after specific announcement! |
miscellaneous | - |
Eduard Knagge, Dipl.-Ing. Andreas Günther Herena Torio Dr. Martin Knipper Dr. rer. nat. Tanja Behrendt |
|
| 5.04.256b |
Introduction to Matlab
Tuesday: 10:00 - 12:00, weekly (from 17/10/23) Friday: 10:00 - 12:00, weekly (from 20/10/23) Description: This course is geared towards Engineering Physics students in their 3rd Semester. Please consider subscribing for an other lecture if you are already in a higher semester or even in your Master study. Master students are allowed to attend but do not get any CP because this is an undergraduate course. The course contains a lecture (Mondays) and an exercise (Fridays). There will be a programming project in the end of the semester including an oral colloquium about your project work. Students acquire knowledge of the most important ideas and methods of computer science including one programming language. Content: - General fundamentals of computer systems - Input/output - Numbers, characters, arrays, strings - Algorithms - Programming language (Matlab) - Functions (procedural programming) - Program files (modular programming) - Introduction to GUI programming This course is geared towards Engineering Physics students in their 3rd Semester. Please consider subscribing for an other lecture if you are already in a higher semester or even in your Master study. Master students are allowed to attend but do not get any CP because this is an undergraduate course. The course contains a lecture (Mondays) and an exercise (Fridays). There will be a programming project in the end of the semester including an oral colloquium about your project work. Students acquire knowledge of the most important ideas and methods of computer science including one programming language. Content: - General fundamentals of computer systems - Input/output - Numbers, characters, arrays, strings - Algorithms - Programming language (Matlab) - Functions (procedural programming) - Program files (modular programming) - Introduction to GUI programming |
Lecture | - |
Markus Schellenberg |
|
| 5.06.M113 |
Python Programming and Modelling
Tuesday: 08:00 - 10:00, weekly (from 17/10/23) Description: Introduction to Simulation & Modelling Introduction to Simulation & Modelling |
Seminar | - |
Herena Torio Paul Ziethe Andreas Günther |
|
| 5.04.4061 |
Wind Energy Physics (former Windenergy)
Thursday: 10:00 - 12:00, weekly (from 19/10/23) Description: Physical properties of fluids, wind characterization and anemometers, aerodynamic aspects of wind energy conversion, dimensional analysis, (pi-theorem), and wind turbine performance, design of wind turbines, electrical systems. Physical properties of fluids, wind characterization and anemometers, aerodynamic aspects of wind energy conversion, dimensional analysis, (pi-theorem), and wind turbine performance, design of wind turbines, electrical systems. |
Lecture | - |
Prof. Dr. Joachim Peinke |
|
| 5.04.4590 |
Advanced Topics Speech and Audio Processing
Monday: 16:00 - 18:00, weekly (from 16/10/23), Location: W06 0-008, W32 1-113 Thursday: 12:00 - 14:00, weekly (from 19/10/23), Location: W06 0-008 Description: The students will gain in-depth knowledge on the subjects’ speech and audio processing. The practical part of the course mediates insight about important properties of the methods treated in a self-study approach, while the application and transfer of theoretical concepts to practical applications is gained by implementing algorithms on a computer. content: After reviewing the basic principles of speech processing and statistical signal processing (adaptive filtering, estimation theory), this course covers techniques and underlying algorithms that are essential in many modern-day speech communication and audio processing systems (e.g. mobile phones, hearing aids, headphones): acoustic echo and feedback cancellation, noise reduction, dereverberation, microphone and loudspeaker array processing, active noise control. During the exercises a typical hands-free speech communication or audio processing system is implemented (in Matlab). The students will gain in-depth knowledge on the subjects’ speech and audio processing. The practical part of the course mediates insight about important properties of the methods treated in a self-study approach, while the application and transfer of theoretical concepts to practical applications is gained by implementing algorithms on a computer. content: After reviewing the basic principles of speech processing and statistical signal processing (adaptive filtering, estimation theory), this course covers techniques and underlying algorithms that are essential in many modern-day speech communication and audio processing systems (e.g. mobile phones, hearing aids, headphones): acoustic echo and feedback cancellation, noise reduction, dereverberation, microphone and loudspeaker array processing, active noise control. During the exercises a typical hands-free speech communication or audio processing system is implemented (in Matlab). |
Lecture | - |
Prof. Dr. Simon Doclo |
|
| 5.04.4660 |
Advanced Metrology
Thursday: 16:00 - 18:00, weekly (from 19/10/23), Location: W16A 015/016 Friday: 14:00 - 16:00, weekly (from 20/10/23), Location: W04 1-162 Description: |
Lecture | 2 |
Prof. Dr. Philipp Huke |
|
| 5.06.M119 |
Energy Systems
Tuesday: 10:00 - 12:00, weekly (from 17/10/23), Location: W16A 004 Dates on Tuesday, 23.01.2024 10:00 - 12:00, Location: V03 0-C002 Description: %%Discussion of the following questions:%% - How to supply energy to all people? - How will energy production/consumption look like in the future? - What are the available resources? - Which technologies will be available? - What are the conditions? - How can energy be used in human-friendly manner? %%Topics:%% Energy basics, energy resources, global energy overview, energy scenarios, techno-economic aspects of energy use (external costs, life cycle analysis, ..), environmental effects of energy use (greenhouse gas emissions, ozone, ..), conventional and advanced power plant technologies, power distribution, advanced storage technologies, solar thermal power plants, geothermal and ocean energies %%Discussion of the following questions:%% - How to supply energy to all people? - How will energy production/consumption look like in the future? - What are the available resources? - Which technologies will be available? - What are the conditions? - How can energy be used in human-friendly manner? %%Topics:%% Energy basics, energy resources, global energy overview, energy scenarios, techno-economic aspects of energy use (external costs, life cycle analysis, ..), environmental effects of energy use (greenhouse gas emissions, ozone, ..), conventional and advanced power plant technologies, power distribution, advanced storage technologies, solar thermal power plants, geothermal and ocean energies |
Lecture | - |
Dr. Martin Knipper Herena Torio |
|
| 5.06.M117 Ü |
Energy Meteorology
Monday: 08:00 - 10:00, weekly (from 23/10/23) Description: Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. |
Exercises | - |
Dr. Thomas Schmidt |
|
| 5.04.6611 |
Advanced Optical Spectroscopy
Tuesday: 12:00 - 14:00, weekly (from 17/10/23) Description: The seminar 5.04.6611 Advanced Optical Spectroscopy is part of the module phy632 Spectrophysics. It is offered parallel with the seminar 5.04.6610 "Modern Methods in Optical Microscopy (depending on the amount of participants, examination: presentation in each part). 5.04.6610 and 5.04.4052 - Kohärente Optik build the module phy683 - Advanced Topics in Laser and Optics. The seminar 5.04.6611 Advanced Optical Spectroscopy is part of the module phy632 Spectrophysics. It is offered parallel with the seminar 5.04.6610 "Modern Methods in Optical Microscopy (depending on the amount of participants, examination: presentation in each part). 5.04.6610 and 5.04.4052 - Kohärente Optik build the module phy683 - Advanced Topics in Laser and Optics. |
Seminar | 2 |
Markus Schellenberg Dr. rer. nat. Sandra Koch Prof. Dr. Walter Neu, Dipl.-Phys. |
|
| 5.04.311 Versuch 09 |
Fortgeschrittenenpraktikum Physik (FPR-B) - Versuch 09 - Praktikum Diodenlaser
Friday: 09:00 - 17:00, weekly (from 20/10/23) Description: Bitte Hinweise [hier]http://www.uni-oldenburg.de/physik/lehre/praktika/fpr/fpr-b/organisation-und-umfang/ beachten. Voraussetzung für die Teilnahme ist eine Anmeldung zu Beginn des dem Praktikum vorangehenden Semesters (Formular [hier]http://www.uni-oldenburg.de/physik/lehre/praktika/fpr/fpr-b/anmeldung/ ). Die Verteilung der Plätze findet am 1. Termin des Seminars zum FPR-B statt.[pre] [/pre] Die aktuellen Versuche werden auf der Homepage des Fortgeschrittenen Praktikums angezeigt. Bitte Hinweise [hier]http://www.uni-oldenburg.de/physik/lehre/praktika/fpr/fpr-b/organisation-und-umfang/ beachten. Voraussetzung für die Teilnahme ist eine Anmeldung zu Beginn des dem Praktikum vorangehenden Semesters (Formular [hier]http://www.uni-oldenburg.de/physik/lehre/praktika/fpr/fpr-b/anmeldung/ ). Die Verteilung der Plätze findet am 1. Termin des Seminars zum FPR-B statt.[pre] [/pre] Die aktuellen Versuche werden auf der Homepage des Fortgeschrittenen Praktikums angezeigt. |
Practical training | - |
Naby Hadilou |
|
| 5.04.4013a |
Current trends in Gravitation I
Wednesday: 17:00 - 19:00, weekly (from 18/10/23) Description: Die Studierenden erhalten Einblick in die aktuellen Fragestellungen und Forschungsthemen im Bereich der Gravitation. Dabei lernen sie neue Untersuchungsmethoden und Forschungsergebnisse kennen und erweitern ihre Kompetenzen bezüglich der kritischen Diskussion der wissenschaftlichen Methoden und Ergebnisse. Die Studierenden erhalten Einblick in die aktuellen Fragestellungen und Forschungsthemen im Bereich der Gravitation. Dabei lernen sie neue Untersuchungsmethoden und Forschungsergebnisse kennen und erweitern ihre Kompetenzen bezüglich der kritischen Diskussion der wissenschaftlichen Methoden und Ergebnisse. |
Seminar | - |
Prof. Dr. Jutta Kunz-Drolshagen Prof. Dr. Betti Hartmann Priv.-Doz.Dr. Burkhard Kleihaus |
|
| 5.04.6570 |
Fundamentals of Optics
Wednesday: 14:00 - 18:00, weekly (from 18/10/23) Thursday: 14:00 - 16:00, weekly (from 26/10/23) Description: The students acquire broad theoretical and experimental knowledge of optics together with the necessary physical background. In the laboratory they acquire practical skills during application of their knowledge from lecture. The module prepares the students to work in the field of optical science and engineering in general, and yields the base for all further specialisations within the field of optics and laser technology. Content: Fundamental and advanced concepts of optics. Topics include: reflection and refraction, optical properties of matter, polarisation, dielectric function and complex index of refraction, evanescent waves, dispersion and absorption of light, Seidel’s abberations, Sellmeier’s equations, optical systems, wave optics, Fourier analysis, wave packets, chirp, interference, interferometry, spatial and temporal coherence, diffraction (Huygens, Fraunhofer, Fresnel), focussing and optical resolution, brilliance, Fourier optics, optics at short wavelengths (extreme UV and X-rays). The students acquire broad theoretical and experimental knowledge of optics together with the necessary physical background. In the laboratory they acquire practical skills during application of their knowledge from lecture. The module prepares the students to work in the field of optical science and engineering in general, and yields the base for all further specialisations within the field of optics and laser technology. Content: Fundamental and advanced concepts of optics. Topics include: reflection and refraction, optical properties of matter, polarisation, dielectric function and complex index of refraction, evanescent waves, dispersion and absorption of light, Seidel’s abberations, Sellmeier’s equations, optical systems, wave optics, Fourier analysis, wave packets, chirp, interference, interferometry, spatial and temporal coherence, diffraction (Huygens, Fraunhofer, Fresnel), focussing and optical resolution, brilliance, Fourier optics, optics at short wavelengths (extreme UV and X-rays). |
Lecture | 4 |
Ulrich Teubner |
|
| 5.04.618 Ü4 |
Mathematical Methods for Physics and Engineering I, exercise
Wednesday: 14:00 - 16:00, weekly (from 18/10/23) Description: |
Exercises | 2 |
Dr. Stefan Uppenkamp, Dipl.-Phys. Nadiya Matukhno |
|
| 5.04.202 |
Atomic and Molecular Physics
Wednesday: 14:00 - 16:00, weekly (from 18/10/23), Location: W03 1-161 (Hörsaal) Friday: 12:00 - 14:00, weekly (from 20/10/23), Location: W02 1-148 Description: Die Studierenden erhalten Kenntnisse über die grundlegenden Prinzipien der Atom- und Molekülphysik. Sie erlangen die Fertigkeit, durch Diskussion zentraler Schlüsselexperimente zwischen klassischen und quantenmechanischen Beschreibungen mikroskopischer Materie zu unterscheiden. Sie erwerben die Kompetenz zur Kombination von Kenntnissen aus der Experimentalphysik mit mathematischen und theoretischen Fertigkeiten, um Phänomene der mikroskopischen Physik zu deuten und qualitativ bzw. quantitativ zu beschreiben. Außerdem erlangen sie Kompetenzen zur gesellschaftspolitischen Einordnung der Konsequenzen von physikalischer Forschung. Inhalte: Aufbau des Atoms; Photonen; Spektroskopische Methoden; Welleneigenschaften von Teilchen; Schrödinger-Gleichung, gebundene und ungebundene Zustände; Wasserstoffatom; Atome mit mehreren Elektronen; Atome in externen Feldern; Übergangswahrscheinlichkeiten, Absorption und Emission; Laser; Molekülbindung, Rotation und Schwingung von Molekülen; Molekülspektren, Auswahlregeln für Übergänge; ESR und NMR. Die Studierenden erhalten Kenntnisse über die grundlegenden Prinzipien der Atom- und Molekülphysik. Sie erlangen die Fertigkeit, durch Diskussion zentraler Schlüsselexperimente zwischen klassischen und quantenmechanischen Beschreibungen mikroskopischer Materie zu unterscheiden. Sie erwerben die Kompetenz zur Kombination von Kenntnissen aus der Experimentalphysik mit mathematischen und theoretischen Fertigkeiten, um Phänomene der mikroskopischen Physik zu deuten und qualitativ bzw. quantitativ zu beschreiben. Außerdem erlangen sie Kompetenzen zur gesellschaftspolitischen Einordnung der Konsequenzen von physikalischer Forschung. Inhalte: Aufbau des Atoms; Photonen; Spektroskopische Methoden; Welleneigenschaften von Teilchen; Schrödinger-Gleichung, gebundene und ungebundene Zustände; Wasserstoffatom; Atome mit mehreren Elektronen; Atome in externen Feldern; Übergangswahrscheinlichkeiten, Absorption und Emission; Laser; Molekülbindung, Rotation und Schwingung von Molekülen; Molekülspektren, Auswahlregeln für Übergänge; ESR und NMR. |
Lecture | 2 |
Prof. Dr. Martin Silies |
|
| 5.06.M127 Ü |
Energy Storage
Thursday: 08:00 - 10:00, weekly (from 19/10/23) Description: Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. |
Exercises | - |
Dr. Martin Knipper |
|
| 5.04.4070 |
Fluid Dynamics I / Fluiddynamik I
Tuesday: 12:00 - 14:00, weekly (from 17/10/23), Location: W32 1-113 Dates on Tuesday, 13.02.2024, Tuesday, 12.03.2024 12:00 - 14:00, Location: W32 0-005, W32 1-113 Description: Fluiddynamik I: Grundgleichungen: Navier-Stokes-Gleichung, Kontinuitätsgleichung, Bernoulli-Gleichung; Wirbel- und Energiegleichungen; Laminare Flüsse und Stabilitätsanalyse; exakte Lösungen, Anwendungen Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German." Fluiddynamik I: Grundgleichungen: Navier-Stokes-Gleichung, Kontinuitätsgleichung, Bernoulli-Gleichung; Wirbel- und Energiegleichungen; Laminare Flüsse und Stabilitätsanalyse; exakte Lösungen, Anwendungen Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German." |
Lecture | - |
Prof. Dr. Joachim Peinke Prof. Dr. Kerstin Avila Canellas |
|
| 5.06.M127 |
Energy Storage
Monday: 10:00 - 12:00, weekly (from 04/12/23), Location: W16A 004 Thursday: 08:00 - 10:00, weekly (from 07/12/23), Location: W16A 004 Dates on Thursday, 25.01.2024 08:00 - 10:00, Location: V03 0-C002 Description: The lecture course, held by Prof. R. Steinberger, introduces Hydrogen as Energy carrier and fuel cells as efficient, emmission-free energy converters. The lecture course, held by Prof. R. Steinberger, introduces Hydrogen as Energy carrier and fuel cells as efficient, emmission-free energy converters. |
Lecture | - |
Dr. Martin Knipper Prof. Dr. Michael Wark, Dipl.-Chem. |
|
| 5.04.656 |
Seminar Advanced Topics in Engineering Physics
Friday: 10:00 - 12:00, weekly (from 20/10/23), Location: W32 1-112 Dates on Monday, 23.10.2023 17:00 - 19:00, Friday, 24.11.2023 10:00 - 12:30, Location: W32 1-113, ((online)) Description: Participation = 14 times during 1st to 3rd semester (register for general information) Presentation = ONCE in the last (4th semester). Register and chose a group to book the date for the presentation. Master thesis work in progress or finished; at least one successfully completed specialization module. The seminar is open to all EP students, bachelor as well as master students. If you're into your master thesis or finished up already please propose the topic of your talk and include an abstract, maximum quarter page size, pdf format. You have to book the desired date of your presentation via StudIP by checking into "Participants", ticking in the left hand menu "Groups" and proceed with the date of your choice. Get yourself registered by clicking the second button from the right "Become a memeber of group..." and submit name, topic, and abstract. Each date is to be filled with 2 participants. You'll see immediately the actual status of the schedule (cf. Documents) It is mandatory that you upload above mentioned data on StudIP, e.g. titel & abstract (template: date_name_title.pdf). The presentation and written notes need to be uploaded to StudIP "Documents" likewise at least a week before your scheduled date. Participation = 14 times during 1st to 3rd semester (register for general information) Presentation = ONCE in the last (4th semester). Register and chose a group to book the date for the presentation. Master thesis work in progress or finished; at least one successfully completed specialization module. The seminar is open to all EP students, bachelor as well as master students. If you're into your master thesis or finished up already please propose the topic of your talk and include an abstract, maximum quarter page size, pdf format. You have to book the desired date of your presentation via StudIP by checking into "Participants", ticking in the left hand menu "Groups" and proceed with the date of your choice. Get yourself registered by clicking the second button from the right "Become a memeber of group..." and submit name, topic, and abstract. Each date is to be filled with 2 participants. You'll see immediately the actual status of the schedule (cf. Documents) It is mandatory that you upload above mentioned data on StudIP, e.g. titel & abstract (template: date_name_title.pdf). The presentation and written notes need to be uploaded to StudIP "Documents" likewise at least a week before your scheduled date. |
Seminar | - |
Prof. Dr. Walter Neu, Dipl.-Phys. Prof. Dr. Martin Silies |
|
| 5.06.M121 Ü |
Photovoltaics
Tuesday: 08:00 - 10:00, weekly (from 24/10/23) Description: Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. |
Exercises | - |
Dr. Martin Knipper |
|
| 5.06.M106 |
Renewable Energy Laboratories
Monday: 13:00 - 17:45, weekly (from 20/11/23) Tuesday: 13:00 - 17:45, weekly (from 21/11/23) Thursday: 13:00 - 17:45, weekly (from 23/11/23) Dates on Monday, 13.11.2023, Thursday, 16.11.2023 13:00 - 18:00 Description: |
Practical training | - |
Dr. Martin Knipper Andreas Günther Dr. rer. nat. Tanja Behrendt |
|
| 5.04.4673 |
Hyperloop Engineering
Monday: 18:00 - 19:00, weekly (from 16/10/23) Description: |
Seminar | - |
Prof. Dr. Walter Neu, Dipl.-Phys. Thomas Schüning Lukas Eschment |
|
| 5.06.M121 |
Photovoltaics
Wednesday: 08:00 - 10:00, weekly (from 18/10/23), Location: W16A 004 Dates on Wednesday, 17.01.2024 08:00 - 10:00, Location: W02 1-148, W16A 015/016 Description: |
Lecture | - |
Dr. Martin Knipper |
|
| 5.06.M123 |
Renewable Energy Heat
Thursday: 10:00 - 12:00, weekly (from 19/10/23) Description: Students gain knowledge on: - Assessment of solar thermal ambient parameters: regional global, diffuse, reflected solar radiation on horizontal and on tilted plane, ambient temperature - Solar thermal collectors - Solar thermal heat exchangers - Solar thermal storages - Solar thermal systems and their operation - Characterization of solar thermal system - Asessment methods for solar system behaviour Students gain knowledge on: - Assessment of solar thermal ambient parameters: regional global, diffuse, reflected solar radiation on horizontal and on tilted plane, ambient temperature - Solar thermal collectors - Solar thermal heat exchangers - Solar thermal storages - Solar thermal systems and their operation - Characterization of solar thermal system - Asessment methods for solar system behaviour |
Lecture | 2 |
Herena Torio |
|
| 5.04.641 |
Production Engineering
Monday: 08:00 - 10:00, weekly (from 16/10/23) Description: Aim: Achieving basic knowledge on how to produce objects with defined geometry and properties in an effective and economic way. Content: Overview on manufacturing technologies, like Casting and other primary shaping processes Plastic deformation processes Cutting and separating processes Joining processes Coating processes Changing material properties Aim: Achieving basic knowledge on how to produce objects with defined geometry and properties in an effective and economic way. Content: Overview on manufacturing technologies, like Casting and other primary shaping processes Plastic deformation processes Cutting and separating processes Joining processes Coating processes Changing material properties |
Lecture | 2 |
Florian Schmidt Sven Carsten Lange |
|
| 5.04.255 Ü2 |
Programming course C++ (Programmierkurs C++)
Tuesday: 14:00 - 16:00, weekly (from 17/10/23) Description: Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples |
Exercises | 2 |
Dr. Stefan Harfst Sven Barger |
|
| 5.04.4580 |
Introduction to microscopy techniques: from light to electrons including basics of image analysis and sample preparation
Thursday: 08:00 - 10:00, weekly (from 16/11/23) Dates on Tuesday, 07.11.2023 08:00 - 10:00 Description: Students will learn basics of optics, basic principles and structure of light and electron microscopes with focus on: • Widefield fluorescence microscopy • Confocal microscopy • Super resolution light microscopy imaging • Scanning electron microscopy • Transmission electron microscopy The course will also include brief introduction into image analysis using ImageJ/Fiji opensource software. Apart from it the sample preparation will be discussed with focus on TEM biological samples Students will learn basics of optics, basic principles and structure of light and electron microscopes with focus on: • Widefield fluorescence microscopy • Confocal microscopy • Super resolution light microscopy imaging • Scanning electron microscopy • Transmission electron microscopy The course will also include brief introduction into image analysis using ImageJ/Fiji opensource software. Apart from it the sample preparation will be discussed with focus on TEM biological samples |
Lecture | - |
Dr. Vita Solovyeva |
|
| 5.04.071 Gruppe 09 |
Grundpraktikum Physik I / Basic Laboratory I für Engineering Physics
Thursday: 09:00 - 11:45, weekly (from 19/10/23), EP Description: Angestrebte Lernergebnisse: Die Studierenden lernen die Grundlagen physikalischen Experimentierens, den Umgang mit moderner Messtechnik sowie Grundlagen der Datenerfassung und -analyse durch Anwendung geeigneter Hard- und Software. Sie vertiefen Vorlesungsstoff durch eigenes Experimentieren. Sie erwerben die Fertigkeiten zur selbstständigen Planung, Durchführung, Auswertung, Analyse und Protokollierung physikalischer Experimente sowie zur Präsentation der Ergebnisse unter Verwendung multimedialer Werkzeuge. Durch Arbeit in Gruppen erwerben sie Kompetenzen in den Bereichen Teamfähigkeit und Kommunikation. Im Begleitseminar erwerben sie neben erweiterten Kenntnissen zum Experimentieren durch Einordnung der gesellschaftlichen Konsequenzen physikalischer Forschungsergebnisse Kompetenzen auf dem Gebiet des verantwortlichen wissenschaftlichen Handelns und Engagements. Inhalt: Einführung in Soft- und Hardware zur technisch-wissenschaftlichen Datenverarbeitung und -erfassung; Umgang mit moderner Messtechnik; Analyse und Bewertung von Messunsicherheiten; Anpassung von Funktionen an Messdaten; Durchführung von Versuchen aus den Gebieten Mechanik, Elektrizitätslehre, Optik, Kernstrahlung, Elektronik, Signalerfassung und -verarbeitung. Learning outcomes: Students will learn the basics of physical experimentation, the use of modern instrumentation, data collection, and analysis using appropriate hardware and software. They deepen lecture material through their own experiments. They acquire the skills for planning, implementation, evaluation, analysis, and reporting of physical experiments and presenting of results using multimedia tools. By working in groups, they gain competencies in the areas of teamwork and communication. Content: Introduction to software for scientific data analysis, analysis and assessment of measurement uncertainties, analysis and verification of measured data, fitting of functions to measured data, dealing with modern measurement techniques, carrying out experiments in the fields of mechanics, electricity, optics, nuclear radiation, electronics, signal acquisition, signal processing. Angestrebte Lernergebnisse: Die Studierenden lernen die Grundlagen physikalischen Experimentierens, den Umgang mit moderner Messtechnik sowie Grundlagen der Datenerfassung und -analyse durch Anwendung geeigneter Hard- und Software. Sie vertiefen Vorlesungsstoff durch eigenes Experimentieren. Sie erwerben die Fertigkeiten zur selbstständigen Planung, Durchführung, Auswertung, Analyse und Protokollierung physikalischer Experimente sowie zur Präsentation der Ergebnisse unter Verwendung multimedialer Werkzeuge. Durch Arbeit in Gruppen erwerben sie Kompetenzen in den Bereichen Teamfähigkeit und Kommunikation. Im Begleitseminar erwerben sie neben erweiterten Kenntnissen zum Experimentieren durch Einordnung der gesellschaftlichen Konsequenzen physikalischer Forschungsergebnisse Kompetenzen auf dem Gebiet des verantwortlichen wissenschaftlichen Handelns und Engagements. Inhalt: Einführung in Soft- und Hardware zur technisch-wissenschaftlichen Datenverarbeitung und -erfassung; Umgang mit moderner Messtechnik; Analyse und Bewertung von Messunsicherheiten; Anpassung von Funktionen an Messdaten; Durchführung von Versuchen aus den Gebieten Mechanik, Elektrizitätslehre, Optik, Kernstrahlung, Elektronik, Signalerfassung und -verarbeitung. Learning outcomes: Students will learn the basics of physical experimentation, the use of modern instrumentation, data collection, and analysis using appropriate hardware and software. They deepen lecture material through their own experiments. They acquire the skills for planning, implementation, evaluation, analysis, and reporting of physical experiments and presenting of results using multimedia tools. By working in groups, they gain competencies in the areas of teamwork and communication. Content: Introduction to software for scientific data analysis, analysis and assessment of measurement uncertainties, analysis and verification of measured data, fitting of functions to measured data, dealing with modern measurement techniques, carrying out experiments in the fields of mechanics, electricity, optics, nuclear radiation, electronics, signal acquisition, signal processing. |
Practical training | - |
Christin Warns Annette Berger Udo Große, B. Sc. Manuel Alejandro Zúñiga Inestroza Sinem Uluocak Dincer |
|
| 5.04.202 Ü1 |
Exercises to Atomic and Molecular Physics
Wednesday: 18:00 - 20:00, weekly (from 25/10/23) Description: |
Exercises | 2 |
TutorInnen, der Physik Prof. Dr. Martin Silies |
|
| 5.04.4668 |
Photonics
Monday: 08:00 - 12:00, weekly (from 04/12/23) Monday: 10:00 - 11:30, weekly (from 16/10/23) Monday: 11:45 - 13:15, weekly (from 16/10/23) Description: Starting from basics, the module yields advanced knowledge of the physics of lasers, of interaction of optical radiation with matter, optoelectronic principles and components as, e.g. laser beams, different laser types, light emitters, detectors, modulators. The students acquire skills in working with lasers and optoelectronic components. Content: Fundamentals of lasers (optical gain, optical Resonator, laser beams), laser types, laser safety; electronic bandstructures in matter, semiconductor junctions, radiation laws, light emitting diodes, photodetectors, solar cells Starting from basics, the module yields advanced knowledge of the physics of lasers, of interaction of optical radiation with matter, optoelectronic principles and components as, e.g. laser beams, different laser types, light emitters, detectors, modulators. The students acquire skills in working with lasers and optoelectronic components. Content: Fundamentals of lasers (optical gain, optical Resonator, laser beams), laser types, laser safety; electronic bandstructures in matter, semiconductor junctions, radiation laws, light emitting diodes, photodetectors, solar cells |
Lecture | 4 |
Prof. Dr. Martin Silies Ulrich Teubner |
|
| 5.04.4253 |
Digital Twin in Wind Turbine Performance Analysis
The course times are not decided yet.
Description: |
Practical training | - |
Prof. Dr. Martin Kühn |
|
| 5.04.4066 |
Python for data and complex systems scientists (Blockveranstaltung)
The course times are not decided yet.
Description: Die Veranstaltung wird als Blockveranstaltung am Ende des Semesters angeboten werden. Complex systems such as bird flocks, the dynamics of the brain, or stock markets are typically characterized by a large number of individual components interacting with each other to produce complex collective behavior. This course is devoted to the analysis of data originating from such complex systems using statistical methods, e.g., state-of-the-art machine learning methods, as well as spatio-temporal data analysis. The goal of the course is to gain a deeper understanding of the mechanisms driving complex behavior using a practical data science approach. In addition, stochastic modelling (e.g., using random or synthetic fields, Langevin equations, master or Fokker-Planck equations) will be introduced to emulate complex behavior and reproduce statistical features from the preceding data analysis. Die Veranstaltung wird als Blockveranstaltung am Ende des Semesters angeboten werden. Complex systems such as bird flocks, the dynamics of the brain, or stock markets are typically characterized by a large number of individual components interacting with each other to produce complex collective behavior. This course is devoted to the analysis of data originating from such complex systems using statistical methods, e.g., state-of-the-art machine learning methods, as well as spatio-temporal data analysis. The goal of the course is to gain a deeper understanding of the mechanisms driving complex behavior using a practical data science approach. In addition, stochastic modelling (e.g., using random or synthetic fields, Langevin equations, master or Fokker-Planck equations) will be introduced to emulate complex behavior and reproduce statistical features from the preceding data analysis. |
Seminar | - |
Dr. rer. nat. Jan Friedrich |
|
| 5.04.4213 Ü2 |
Machine Learning I - Probabilistic Unsupervised Learning
Tuesday: 16:00 - 18:00, weekly (from 24/10/23) Description: |
Exercises | - |
Dmytro Velychko Prof. Dr. Jörg Lücke Filippos Panagiotou |
|
| 5.06.M308 |
Resilient Energy Systems
Friday: 10:00 - 14:00, weekly (from 20/10/23) Description: |
Lecture | - |
Herena Torio |
|
| 5.04.638 Ü2 |
Exercises Mathematical Methods for Physics and Engineering III
Tuesday: 10:00 - 12:00, weekly (from 17/10/23) Description: |
Exercises | 2 |
Prof. Dr. Simon Doclo Prof. Dr. Gerald Enzner Prof. Dr. Steven van de Par Siegfried Gündert Dr.-Ing. Aleksej Chinaev |
|
| 5.06.M106 Ü |
Renewable Energy Laboratories
Monday: 13:00 - 18:00, weekly (from 16/10/23) Tuesday: 13:00 - 18:00, weekly (from 17/10/23) Wednesday: 13:00 - 18:00, weekly (from 18/10/23) Thursday: 13:00 - 18:00, weekly (from 19/10/23) Friday: 13:00 - 18:00, weekly (from 20/10/23) Description: Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. |
Exercises | - |
Dr. Martin Knipper Herena Torio Andreas Günther |
|
| 5.04.4070 Ü1 |
Übung zu Fluid Dynamics I / Fluiddynamik I
Tuesday: 14:00 - 16:00, weekly (from 17/10/23) Description: |
Exercises | 2 |
TutorInnen, der Physik Prof. Dr. Joachim Peinke Prof. Dr. Kerstin Avila Canellas |
|
| 5.06.M123 Ü |
Renewable Energy Heat
Tuesday: 10:00 - 12:00, weekly (from 17/10/23) Description: Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. |
Exercises | 2 |
Herena Torio |
|
| 5.04.302 |
Solid State Physics
Tuesday: 10:00 - 12:00, weekly (from 17/10/23), Location: W04 1-162 Thursday: 12:00 - 14:00, weekly (from 19/10/23), Location: W02 1-148 Dates on Thursday, 15.02.2024 10:00 - 12:00, Location: W03 1-161 (Hörsaal) Description: |
Lecture | - |
Prof. Dr. Niklas Nilius |
|
| 5.04.4665 |
Modelling and Simulation
Tuesday: 15:30 - 19:30, weekly (from 17/10/23) Description: Contact: jann.strybny@hs-emden-leer.de arne.daniel@hs-emden-leer.de HS Emden/Leer, Maritimer Campus Leer, Center for Modelling and Simulation, Raum B 35, Bergmannstr. 36, 26789 Leer • Understanding of advanced fluid dynamics including three-dimensional, transient and compressible processes • Identifying the significant physical processes, defining the dimensionality and relevant scales in time and space • Theory of similarity, range of dimensionless numbers • Potential Theory • Numerical Algorithms and possibilities of independent coding of simplest mathematical models • Limitations of numerical models, risk of empirical approaches included in numerical models • Introduction of a complete chain of Open-Source-CFD-Tools, considering preprocessing, processing and postprocessing tools • Need and availability of appropriate measurement techniques for the steering, calibration and verification of models • Contactless high-resolving measuring techniques in the fluid dynamics • Limits of accuracy of different modelling and simulation concepts Contact: jann.strybny@hs-emden-leer.de arne.daniel@hs-emden-leer.de HS Emden/Leer, Maritimer Campus Leer, Center for Modelling and Simulation, Raum B 35, Bergmannstr. 36, 26789 Leer • Understanding of advanced fluid dynamics including three-dimensional, transient and compressible processes • Identifying the significant physical processes, defining the dimensionality and relevant scales in time and space • Theory of similarity, range of dimensionless numbers • Potential Theory • Numerical Algorithms and possibilities of independent coding of simplest mathematical models • Limitations of numerical models, risk of empirical approaches included in numerical models • Introduction of a complete chain of Open-Source-CFD-Tools, considering preprocessing, processing and postprocessing tools • Need and availability of appropriate measurement techniques for the steering, calibration and verification of models • Contactless high-resolving measuring techniques in the fluid dynamics • Limits of accuracy of different modelling and simulation concepts |
Lecture | - |
Jann Strybny Arne Daniel |
|
| 5.04.4571 |
Density-functional theory
Wednesday: 14:00 - 16:00, weekly (from 18/10/23) Friday: 08:00 - 10:00, weekly (from 20/10/23) Description: Description: The objective of this class is to introduce students to ab initio methods for electronic-structure calculations based on density-functional theory (DFT). The topics will be approached from the viewpoint of condensed-matter physics. In the first part of the semester, theoretical lectures will be accompanied by exercise sessions. The last few weeks of the term will be exclusively dedicated to hand-on tutorials. At the end of this course, participants are expected to be familiar with the theoretical foundation of DFT, to be able to perform a DFT calculation with good control of the given approximations, and to know how to interpret the outcoming results. The course as a whole (theoretical lectures, exercises, and hands-on tutorials) can be offered in presence, in digital form, or even in a mixed regime, depending on the circumstances and on the students’ needs. The course is addressed to Master’s students in theoretical physics. However, Master’s students in experimental physics, doctoral students in all specializations, and Bachelor’s students who are interested in (computational) electronic-structure theory are very welcome to participate. Good knowledge of quantum mechanics is the only prerequisite to attend this class. Description: The objective of this class is to introduce students to ab initio methods for electronic-structure calculations based on density-functional theory (DFT). The topics will be approached from the viewpoint of condensed-matter physics. In the first part of the semester, theoretical lectures will be accompanied by exercise sessions. The last few weeks of the term will be exclusively dedicated to hand-on tutorials. At the end of this course, participants are expected to be familiar with the theoretical foundation of DFT, to be able to perform a DFT calculation with good control of the given approximations, and to know how to interpret the outcoming results. The course as a whole (theoretical lectures, exercises, and hands-on tutorials) can be offered in presence, in digital form, or even in a mixed regime, depending on the circumstances and on the students’ needs. The course is addressed to Master’s students in theoretical physics. However, Master’s students in experimental physics, doctoral students in all specializations, and Bachelor’s students who are interested in (computational) electronic-structure theory are very welcome to participate. Good knowledge of quantum mechanics is the only prerequisite to attend this class. |
Lecture | - |
Prof. Dr. Caterina Cocchi |
|
| 5.04.4070 Ü2 |
Übung zu Fluid Dynamics I / Fluiddynamik I
Wednesday: 14:00 - 16:00, weekly (from 18/10/23) Description: |
Exercises | - |
TutorInnen, der Physik Prof. Dr. Joachim Peinke Prof. Dr. Kerstin Avila Canellas |
|
| 5.04.618 Ü1 |
Mathematical Methods for Physics and Engineering I, exercise
Wednesday: 08:00 - 10:00, weekly (from 18/10/23) Description: |
Exercises | 2 |
Dr. Stefan Uppenkamp, Dipl.-Phys. |
|
| 5.04.255 |
Programming course C++ (Programmierkurs C++)
Monday: 14:00 - 16:00, weekly (from 16/10/23) Description: Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples |
Lecture | 2 |
Dr. Stefan Harfst |
|
| 5.04.302 Ü1 |
Exercise: Solid State Physics
Wednesday: 12:00 - 14:00, weekly (from 18/10/23) Description: |
Exercises | - |
Prof. Dr. Niklas Nilius Ghada Missaoui |
|
| 5.04.4078 |
Experimental Fluid Dynamics
Friday: 10:00 - 12:00, weekly (from 20/10/23) Description: |
Lecture | - |
Prof. Dr. Kerstin Avila Canellas |
|
| 5.04.4661 |
Spectrophysics
Tuesday: 10:00 - 12:00, weekly (from 17/10/23) Description: The module phy632 Spectrophysics is offered during the winter semester. The seminar 5.04.6611 Advanced Optical Spectroscopy is part of the module. Students gain in depth theoretical as experimental knowledge on advanced optical spectroscopy applied to atomic and molecular systems. They are qualified in setting up innovative methods and measurement devices based on their expert competence in up-to-date research and development areas. The course prepares the students to work in the field of optical science and engineering in general, and yields the base for all further specialisations within the field of optics and laser technology. Content: Atomic structure and atomic spectra, molecular structure and molecular spectra, emission and absorption, width and shape of spectral lines, radiative transfer and transition probabilities, elementary plasma spectroscopy, experimental tools in spectroscopy, dispersive and interferometric spectrometers, light sources and detectors, laser spectroscopy, nonlinear spectroscopy, molecular spectroscopy, time resolved spectroscopy, coherent spectroscopy The module phy632 Spectrophysics is offered during the winter semester. The seminar 5.04.6611 Advanced Optical Spectroscopy is part of the module. Students gain in depth theoretical as experimental knowledge on advanced optical spectroscopy applied to atomic and molecular systems. They are qualified in setting up innovative methods and measurement devices based on their expert competence in up-to-date research and development areas. The course prepares the students to work in the field of optical science and engineering in general, and yields the base for all further specialisations within the field of optics and laser technology. Content: Atomic structure and atomic spectra, molecular structure and molecular spectra, emission and absorption, width and shape of spectral lines, radiative transfer and transition probabilities, elementary plasma spectroscopy, experimental tools in spectroscopy, dispersive and interferometric spectrometers, light sources and detectors, laser spectroscopy, nonlinear spectroscopy, molecular spectroscopy, time resolved spectroscopy, coherent spectroscopy |
Lecture | - |
Prof. Dr. Walter Neu, Dipl.-Phys. |
|
| 5.04.638 |
Mathematical Methods for Physics and Engineering III
Monday: 12:00 - 14:00, weekly (from 16/10/23) Description: Aim: To obtain advanced knowledge in application of mathematical methods to solve problems in physics and engineering. Content: Complex analysis (derivatives, integration, Taylor and Laurent series, residue theorem) Fourier and Laplace transforms Ordinary differential equations Partial differential equations Aim: To obtain advanced knowledge in application of mathematical methods to solve problems in physics and engineering. Content: Complex analysis (derivatives, integration, Taylor and Laurent series, residue theorem) Fourier and Laplace transforms Ordinary differential equations Partial differential equations |
Lecture | 2 |
Prof. Dr. Simon Doclo Prof. Dr. Gerald Enzner Prof. Dr. Steven van de Par Dr.-Ing. Aleksej Chinaev |
|
| 5.04.4675 |
Optical Simulation and Modelling (Zemax)
Wednesday: 12:15 - 13:45, weekly (from 18/10/23) Description: lecture and project lecture and project |
Lecture | - |
Prof. Dr. Walter Neu, Dipl.-Phys. |
|
| 5.04.4528 |
Computational Biophysics
Wednesday: 12:00 - 14:00, weekly (from 18/10/23) Description: The course will explore physical models and computational approaches used for the simulations of macromolecular systems. A mixture of lectures and hands-on tutorials will serve to provide a roadmap for setting investigations of macro-molecular structure and dynamics at the atomic level of detail. The course is based on practical exercises with the biophysical programs NAMD and VMD. In particular, the case studies of various biological systems will be discussed. Relevant physical concepts, mathematical techniques, and computational methods will be introduced, including force fields and algorithms used in molecular modeling and molecular dynamics on parallel computers The course will explore physical models and computational approaches used for the simulations of macromolecular systems. A mixture of lectures and hands-on tutorials will serve to provide a roadmap for setting investigations of macro-molecular structure and dynamics at the atomic level of detail. The course is based on practical exercises with the biophysical programs NAMD and VMD. In particular, the case studies of various biological systems will be discussed. Relevant physical concepts, mathematical techniques, and computational methods will be introduced, including force fields and algorithms used in molecular modeling and molecular dynamics on parallel computers |
Lecture | - |
Prof. Dr. Ilia Solov'yov Luca Gerhards |
|
| 5.04.618 |
Mathematical Methods for Physics and Engineering I, lecture
Monday: 14:00 - 16:00, weekly (from 16/10/23), Location: W32 0-005 Friday: 12:00 - 14:00, weekly (from 20/10/23), Location: W32 0-005 Dates on Tuesday, 13.02.2024 14:00 - 16:00, Location: W03 1-161 (Hörsaal) Description: Students obtain basic knowledge in application of mathematical methods to solve problems in physics and engineering - Vector algebra (vectors in 2- and 3-space, vector products, planes, lines, cylindrical and spherical coordinates) - Preliminary calculus (elementary functions, limits, series, differentiation, integration) - Preliminary complex analysis - Introduction to ordinary differential equations - Partial differentiation - Vector calculus (scalar and vector fields, vector operators, line, surface and volume integrals, divergence and Stokes’ theorem) Students obtain basic knowledge in application of mathematical methods to solve problems in physics and engineering - Vector algebra (vectors in 2- and 3-space, vector products, planes, lines, cylindrical and spherical coordinates) - Preliminary calculus (elementary functions, limits, series, differentiation, integration) - Preliminary complex analysis - Introduction to ordinary differential equations - Partial differentiation - Vector calculus (scalar and vector fields, vector operators, line, surface and volume integrals, divergence and Stokes’ theorem) |
Lecture | 8 |
Dr. Stefan Uppenkamp, Dipl.-Phys. |
|
| 5.04.706 |
Einführung und Grundlagen zur Lasermaterialbearbeitung / Introduction to Laser Material Processing
Wednesday: 10:00 - 12:00, weekly (from 18/10/23), Location: W06 0-008 Dates on Wednesday, 31.01.2024 10:00 - 12:00, Location: V03 0-D001, V03 0-D003 Description: Qualifikationsziele Die Studierenden erwerben grundlegende Kenntnisse zu den Eigenschaften des Werkzeugs Laserstrahl und können die Verfahren der Lasermaterialbearbeitung beurteilen und können diese in der Praxis anwen- den. Die Studierenden sollen fähig sein, die Verfahren der Materialbearbeitung mit Laserstrahlen in die Beurteilung von Fertigungsaufgaben einzubringen. Qualifikationsziele Die Studierenden erwerben grundlegende Kenntnisse zu den Eigenschaften des Werkzeugs Laserstrahl und können die Verfahren der Lasermaterialbearbeitung beurteilen und können diese in der Praxis anwen- den. Die Studierenden sollen fähig sein, die Verfahren der Materialbearbeitung mit Laserstrahlen in die Beurteilung von Fertigungsaufgaben einzubringen. |
Lecture | 2 |
Thomas Schüning |
|
| 5.04.652 |
Hyperloop Technologies
Monday: 18:00 - 19:00, weekly (from 16/10/23) Description: This is the Bachelor course. The Module "Hyperloop Technologies" is recommended for 3rd Semester students and above, although there are also some projects for earlier semesters available. For the Master course search for "Hyperloop Engineering". The module Hyperloop Technologies (PB / Specialization module, e.g. Lab Project II; 6CP) in the upcoming winter term will be held in collaboration with the Eidgenössische Technische Hochschule (ETH) Zürich. Part of the course will be an online seminar with presentations from students and industry experts about state-of-the-art research topics on Hyperloop Technology. The course grading will be completed by a project e.g. a written report including the assessment of a presented topic or a report or presentation about a new topic of Hyperloop technology. Details: The Seminar with the ETH Zürich will start on the 12.10.2020 18:00-19:00 and will be held biweekly (26.10. / 09.11. / 23.11. / 07.12.). For further information visit: http://www.hyperpodx.com/seminar/ Additionally, there will be meetings every Tuesday 18:00-20:00 and some additional dates which will be announced in the Information and Regulations document for this module. The topics for the projects, e.g. lab projects, reports and presentations will be discussed in an additional meeting. This is the Bachelor course. The Module "Hyperloop Technologies" is recommended for 3rd Semester students and above, although there are also some projects for earlier semesters available. For the Master course search for "Hyperloop Engineering". The module Hyperloop Technologies (PB / Specialization module, e.g. Lab Project II; 6CP) in the upcoming winter term will be held in collaboration with the Eidgenössische Technische Hochschule (ETH) Zürich. Part of the course will be an online seminar with presentations from students and industry experts about state-of-the-art research topics on Hyperloop Technology. The course grading will be completed by a project e.g. a written report including the assessment of a presented topic or a report or presentation about a new topic of Hyperloop technology. Details: The Seminar with the ETH Zürich will start on the 12.10.2020 18:00-19:00 and will be held biweekly (26.10. / 09.11. / 23.11. / 07.12.). For further information visit: http://www.hyperpodx.com/seminar/ Additionally, there will be meetings every Tuesday 18:00-20:00 and some additional dates which will be announced in the Information and Regulations document for this module. The topics for the projects, e.g. lab projects, reports and presentations will be discussed in an additional meeting. |
Project | - |
Prof. Dr. Walter Neu, Dipl.-Phys. Thomas Schüning Lukas Eschment |
|
| 5.06.M315 Ü |
Hidden Champions in RE
Friday: 10:00 - 12:00, weekly (from 20/10/23) Description: Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. |
Exercises | - |
Herena Torio Dr. Alexandra Pehlken |
|
| 5.04.202 Ü3 |
Exercises to Atomic and Molecular Physics
Monday: 08:00 - 10:00, weekly (from 23/10/23) Description: |
Exercises | 2 |
TutorInnen, der Physik Prof. Dr. Martin Silies |
|
| 5.04.618 Ü3 |
Mathematical Methods for Physics and Engineering I, exercise
Wednesday: 10:00 - 12:00, weekly (from 18/10/23) Description: |
Exercises | 2 |
Dr. Stefan Uppenkamp, Dipl.-Phys. Syed Burair Haider Naqvi |
|
| 5.04.3300 b |
Radiooncology for Medical Physicists II
The course times are not decided yet.
Description: In this lecture the basic background of Radiooncology for Medical Physics will be covered. The lecture will be held at the Pius-Hospital Oldenburg in several blocks. Detailed schedule will be announced in XXX, In this lecture the basic background of Radiooncology for Medical Physics will be covered. The lecture will be held at the Pius-Hospital Oldenburg in several blocks. Detailed schedule will be announced in XXX, |
Lecture | - |
Prof. Dr. Björn Poppe Dr. Ping Jiang |
|
| 5.04.612 Ü4 |
Extraordinary Exercises Mechanics
Wednesday: 12:00 - 14:00, weekly (from 18/10/23) Description: The extraordinary exercise session will be offered for the students of the lecture Mechanics. The aim is to provide a recapitulation and consolidation of important physical concepts by actively engaging the students in solving physical problems. The students should go in interaction with one another and discuss the possible approaches to the problems, which will increase their understanding of the underlying physical concepts. This module is not intended to increase the student's workload, as it will not provide new content. It is meant as a support to the tutorials as well as the lecture and is entirely voluntary. Participation of both first year’s students as well as repeaters is strongly recommended. The extraordinary exercise session will be offered for the students of the lecture Mechanics. The aim is to provide a recapitulation and consolidation of important physical concepts by actively engaging the students in solving physical problems. The students should go in interaction with one another and discuss the possible approaches to the problems, which will increase their understanding of the underlying physical concepts. This module is not intended to increase the student's workload, as it will not provide new content. It is meant as a support to the tutorials as well as the lecture and is entirely voluntary. Participation of both first year’s students as well as repeaters is strongly recommended. |
Exercises | - |
Aldana Lilén Vöhringer Prof. Dr. Martin Kühn |
|
| 5.04.612 |
Mechanics
Monday: 16:00 - 18:00, weekly (from 16/10/23), Location: W03 1-161 (Hörsaal) Tuesday: 16:00 - 18:00, weekly (from 17/10/23), Location: W03 1-161 (Hörsaal) Dates on Monday, 12.02.2024 12:00 - 14:00, Monday, 25.03.2024 13:00 - 15:00, Location: W32 0-005 Description: Introduction into scientific reasoning; understanding the basic physical principles that govern physical behaviour in the real world, application of these principles to solve practical problems. General introduction to the fundamentals of experimental mechanics. Achieving basic knowledge in reading, understanding and production of technical drawings, getting and overview about the features of CAD-Software, knowing about the basic principles of designing and dimensioning of machine elements. Introduction into scientific reasoning; understanding the basic physical principles that govern physical behaviour in the real world, application of these principles to solve practical problems. General introduction to the fundamentals of experimental mechanics. Achieving basic knowledge in reading, understanding and production of technical drawings, getting and overview about the features of CAD-Software, knowing about the basic principles of designing and dimensioning of machine elements. |
Lecture | 2 |
Prof. Dr. Martin Kühn Aldana Lilén Vöhringer |
|
| 5.04.4213 Ü1 |
Machine Learning I - Probabilistic Unsupervised Learning
Tuesday: 16:00 - 18:00, weekly (from 24/10/23) Description: |
Exercises | - |
Till Kahlke Prof. Dr. Jörg Lücke Dr. rer. nat. Seyyed Hamid Mousavi Hashemi |
|
| 5.04.618 Ü2 |
Mathematical Methods for Physics and Engineering I, exercise
Wednesday: 10:00 - 12:00, weekly (from 18/10/23) Description: |
Exercises | 2 |
Dr. Stefan Uppenkamp, Dipl.-Phys. Hauke Ukena |
|
| 5.06.M117 |
Energy Meteorology
Wednesday: 10:00 - 12:00, weekly (from 18/10/23), Location: W16A 004 Dates on Wednesday, 31.01.2024 10:00 - 11:00, Location: V03 0-C002 Description: |
Lecture | - |
Dr. Thomas Schmidt Bruno Schyska |
|
| 5.04.4061 Ü |
Wind Energy Physics (former Windenergy)
The course times are not decided yet.
Description: Physical properties of fluids, wind characterization and anemometers, aerodynamic aspects of wind energy conversion, dimensional analysis, (pi-theorem), and wind turbine performance, design of wind turbines, electrical systems. Physical properties of fluids, wind characterization and anemometers, aerodynamic aspects of wind energy conversion, dimensional analysis, (pi-theorem), and wind turbine performance, design of wind turbines, electrical systems. |
Exercises | - |
Prof. Dr. Joachim Peinke TutorInnen, der Physik |
|
| 5.06.M119 Ü |
Energy Systems
Monday: 10:00 - 12:00, weekly (from 23/10/23) Description: Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. |
Exercises | - |
Dr. Martin Knipper Herena Torio |
|
| 5.04.624a |
Introduction to Laser & Optics
Tuesday: 12:00 - 14:00, weekly (from 17/10/23) Description: Introduction to relevant research fields in Laser and Optics. Knowledge of the characteristics of waves, optical radiation, design und function of optical elements and instruments, basic design of photonic systems and optical metrology. Introduction to relevant research fields in Laser and Optics. Knowledge of the characteristics of waves, optical radiation, design und function of optical elements and instruments, basic design of photonic systems and optical metrology. |
Lecture | - |
Prof. Dr. Martin Silies |
|
| 5.04.624c |
Introduction to Renewable Energies
Wednesday: 12:00 - 14:00, weekly (from 18/10/23), Location: W16A 015/016, W16A 010 Description: Introduction into the areas of renewable energies, with special emphasis on energy conversion and utilization, based on complex physical models. The student will be able to understand the fundamental principles of the field renewable energies. Contents: Energy supply and demand; energy use & climate change, energy resources; renewable energy sources (resources, technology & application): photovoltaics, solar thermal systems and power plants, wind power, hydropower, geothermal energy, biomass; hydrogen technology and fuel cells; energy storage; sustainable energy supply. Introduction into the areas of renewable energies, with special emphasis on energy conversion and utilization, based on complex physical models. The student will be able to understand the fundamental principles of the field renewable energies. Contents: Energy supply and demand; energy use & climate change, energy resources; renewable energy sources (resources, technology & application): photovoltaics, solar thermal systems and power plants, wind power, hydropower, geothermal energy, biomass; hydrogen technology and fuel cells; energy storage; sustainable energy supply. |
Lecture | 2 |
Prof. Dr. Martin Kühn |
|
| 5.04.638 Ü4 |
Exercises Mathematical Methods for Physics and Engineering III
Tuesday: 16:00 - 18:00, weekly (from 17/10/23) Description: |
Exercises | - |
Prof. Dr. Simon Doclo Prof. Dr. Gerald Enzner Prof. Dr. Steven van de Par Siegfried Gündert Dr.-Ing. Aleksej Chinaev |
|
| 5.06.M101 |
Introductory Laboratory
Monday: 08:00 - 10:00, weekly (from 16/10/23) Dates on Monday, 02.10.2023 - Friday, 06.10.2023, Monday, 09.10.2023 - Friday, 13.10.2023 08:00 - 18:00, Monday, 23.10.2023, Thursday, ...(more) Description: |
Practical training | - |
Herena Torio Dr. Martin Knipper Dr. rer. nat. Tanja Behrendt Andreas Günther Cuauhtemoc Adrian Jimenez Martinez |
|
| 5.04.4750 |
Electron Dynamics in Nanostructures
Wednesday: 16:00 - 18:00, weekly (from 18/10/23) Description: Ultrafast optical and electronic excitations in nanostructures (e.g. electron-hole-pair and plasmonic modes) Strong field effects in the physics of nanostructures Role of quantum coherence for charge and energy transfer processes Development of new experimental schemes to probe the nanoscale dynamics Development of new theoretical approaches to analyze nanoscale dynamics Ultrafast optical and electronic excitations in nanostructures (e.g. electron-hole-pair and plasmonic modes) Strong field effects in the physics of nanostructures Role of quantum coherence for charge and energy transfer processes Development of new experimental schemes to probe the nanoscale dynamics Development of new theoretical approaches to analyze nanoscale dynamics |
Seminar | - |
PD Dr. Svend-Age Biehs Prof. Dr. Caterina Cocchi Prof. Dr. Christoph Lienau Prof. Dr. Niklas Nilius Prof. Dr. Christian Schneider Prof. Dr. Ilia Solov'yov Prof. Dr. Matthias Wollenhaupt, Dipl.-Phys. |
|
| 5.06.M315 |
Hidden Champions in RE
Friday: 08:00 - 10:00, weekly (from 20/10/23) Description: |
Lecture | - |
Herena Torio Dr. Alexandra Pehlken |
|
| 5.04.609 |
Material Sciences
Thursday: 08:00 - 12:00, weekly (from 19/10/23), Location: W06 0-008 Dates on Monday, 29.01.2024 08:00 - 12:00, Monday, 05.02.2024, Thursday, 21.03.2024 10:00 - 12:00, Location: W02 1-146, W02 1-148, W04 1-162 Description: The students are able - outgoing from the microscopic structure of engineering materials - to understand its macroscopic properties, so that they are able to involve the behaviour of engineering materials into engineering requirements independently Content: Introduction Classification of engineering materials in groups Constitution of engineering materials (microscopic structure, macroscopic properties) Physical basics of constitution: Constitution of single phase solids (crystals, amorphous materials, real materials) Constitution of multi-phase materials Basic diagrams of constitution of binary alloys Crystallisation Diffusion Properties of materials Physical properties Mechanical properties (plastic deformation, crack growth, friction, wear) Groups of materials (metals, ceramics, polymers) Selected materials (iron, aluminium, copper) Testing of materials (an overview of methods) The students are able - outgoing from the microscopic structure of engineering materials - to understand its macroscopic properties, so that they are able to involve the behaviour of engineering materials into engineering requirements independently Content: Introduction Classification of engineering materials in groups Constitution of engineering materials (microscopic structure, macroscopic properties) Physical basics of constitution: Constitution of single phase solids (crystals, amorphous materials, real materials) Constitution of multi-phase materials Basic diagrams of constitution of binary alloys Crystallisation Diffusion Properties of materials Physical properties Mechanical properties (plastic deformation, crack growth, friction, wear) Groups of materials (metals, ceramics, polymers) Selected materials (iron, aluminium, copper) Testing of materials (an overview of methods) |
Lecture | 4 |
Esther Held |
|
| 5.04.302 Ü2 |
Exercise: Solid State Physics
Thursday: 16:00 - 18:00, weekly (from 19/10/23), Location: W02 1-122, W02 1-128 Description: |
Exercises | - |
Prof. Dr. Niklas Nilius Ghada Missaoui |
|
| 97 Seminars | |||||
